A relatively frequent problem when cross-classified data is needed (for example region <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\times $$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mo>×</mo> </math> </EquationSource> </InlineEquation> industry) is that only aggregate (not cross-classified) data exists. Filling the gaps by combining data from diverse sources usually requires data conciliation. Ecological inference and...</equationsource></equationsource></inlineequation>

The fundamental idea in Junius and Oosterhaven (2003) is to break down the information contained in the a priori data into two parts: algebraic signs, and absolute values. This approach is well grounded in information theory, and provides a basis on which to solve the problem of adjusting...

Decaluwe B., Lemelin A. and Bahan D. Endogenous labour supply with several occupational categories in a bi-regional computable general equilibrium (CGE) model, Regional Studies. To make labour supply endogenous in the Quebec Finance Ministry Quebec-Rest-of-Canada bi-regional computable general...

Purpose – Spatial autocorrelation in regression residuals is a major issue for the modeller because it disturbs parameter estimates and invalidates the reliability of conclusions drawn from models. The purpose of this paper is to develop an approach which generates new spatial predictors that...

Purpose – Both hedonics and the traditional sales comparison approach are derived from a similar paradigm with respect to how prices, hence market values, are determined. While the hedonic approach can provide reliable estimates of individual attributes' marginal contribution, it may –...

Evaluating the impact of public mass transit systems on real-estate values is an important application of the hedonic price model (HPM). Recently, a mathematical transformation of this approach has been proposed to account for the potential omission of latent spatial variables that may...

Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled...

Recent ready access to free software and toolbox applications is directly impacting spatial econometric modelling when working with geolocated data. Spatial econometric models are valuable tools for taking into account the possible latent structure of the price determination process and ensuring...